2025 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model
This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years.
These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version >= 2025.1. To run county-level with older versions (2024.0-2024.3), use the data posted at https://data.openei.org/submissions/5986.
Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS.
To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.
For additional details see the README of the dataset.
Citation Formats
National Renewable Energy Laboratory (NREL). (2025). 2025 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model [data set]. Retrieved from https://data.openei.org/submissions/8379.
Sergi, Brian, Cole, Wesley, Lopez, Anthony, Williams, Travis, Nguyen, Claire, Mowers, Matt, and Rivers, Marie. 2025 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model. United States: N.p., 25 Mar, 2025. Web. https://data.openei.org/submissions/8379.
Sergi, Brian, Cole, Wesley, Lopez, Anthony, Williams, Travis, Nguyen, Claire, Mowers, Matt, & Rivers, Marie. 2025 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model. United States. https://data.openei.org/submissions/8379
Sergi, Brian, Cole, Wesley, Lopez, Anthony, Williams, Travis, Nguyen, Claire, Mowers, Matt, and Rivers, Marie. 2025. "2025 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model". United States. https://data.openei.org/submissions/8379.
@div{oedi_8379, title = {2025 County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model}, author = {Sergi, Brian, Cole, Wesley, Lopez, Anthony, Williams, Travis, Nguyen, Claire, Mowers, Matt, and Rivers, Marie.}, abstractNote = {This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provided for 15 weather years covering 2007-2013 and 2016-2023 for all technologies except for CSP, which is only provided for 2007-2013 due to the lack of data covering the latter years.
These data are used as inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. These data are compatible with ReEDs Version >= 2025.1. To run county-level with older versions (2024.0-2024.3), use the data posted at https://data.openei.org/submissions/5986.
Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS.
To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.
For additional details see the README of the dataset.}, doi = {}, url = {https://data.openei.org/submissions/8379}, journal = {}, number = , volume = , place = {United States}, year = {2025}, month = {03}}
Details
Data from Mar 25, 2025
Last updated Mar 26, 2025
Submission in progress
Organization
National Renewable Energy Laboratory (NREL)
Contact
Brian Sergi
